2 papers
eess.SY2026
An End-to-End Approach for Microgrid Probabilistic Forecasting and Robust Operation via Decision-focused Learning
Tingwei Cao, Yan Xu
High penetration of renewable energy sources (RES) introduces significant uncertainty and intermittency into microgrid operations, posing challenges to economic and reliable schedu…
eess.SY2025
Symbolic Equation Modeling of Composite Loads: A Kolmogorov-Arnold Network based Learning Approach
Sonam Dorji, Yongkang Sun, Yuchen Zhang +3
With increasing penetration of distributed energy resources installed behind the meter, there is a growing need for adequate modelling of composite loads to enable accurate power s…